The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Report Printed On 

## [1] "2020-03-28"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "660706 (up from 593291 yesterday: 11.36 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "30652 (up from 27198 yesterday: 12.7 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.64



In- Depth Country Wise Stats (With Atleast 100 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed TotalDeaths FatalityRate
US 121478 2026 1.67
Italy 92472 10023 10.84
China 81999 3299 4.02
Spain 73235 5982 8.17
Germany 57695 433 0.75
France 38105 2317 6.08
Iran 35408 2517 7.11
United Kingdom 17312 1021 5.90
Switzerland 14076 264 1.88
Netherlands 9819 640 6.52
Korea, South 9478 144 1.52
Belgium 9134 353 3.86
Austria 8271 68 0.82
Turkey 7402 108 1.46
Canada 5576 61 1.09
Portugal 5170 100 1.93
Norway 4015 23 0.57
Brazil 3904 111 2.84
Australia 3640 14 0.38
Israel 3619 12 0.33
Sweden 3447 105 3.05
Czechia 2631 11 0.42
Ireland 2415 36 1.49
Denmark 2366 65 2.75
Malaysia 2320 27 1.16
Chile 1909 6 0.31
Luxembourg 1831 18 0.98
Ecuador 1823 48 2.63
Japan 1693 52 3.07
Poland 1638 18 1.10
Pakistan 1495 12 0.80
Romania 1452 37 2.55
Russia 1264 4 0.32
Thailand 1245 6 0.48
Saudi Arabia 1203 4 0.33
South Africa 1187 1 0.08
Finland 1167 9 0.77
Indonesia 1155 102 8.83
Philippines 1075 68 6.33
Greece 1061 32 3.02
India 987 24 2.43
Iceland 963 2 0.21
Singapore 802 2 0.25
Panama 786 14 1.78
Dominican Republic 719 28 3.89
Mexico 717 12 1.67
Diamond Princess 712 10 1.40
Argentina 690 18 2.61
Slovenia 684 9 1.32
Peru 671 16 2.38
Serbia 659 10 1.52
Croatia 657 5 0.76
Estonia 645 1 0.16
Colombia 608 6 0.99
Qatar 590 1 0.17
Egypt 576 36 6.25
Iraq 506 42 8.30
Bahrain 476 4 0.84
United Arab Emirates 468 2 0.43
Algeria 454 29 6.39
New Zealand 451 0 0.00
Lebanon 412 8 1.94
Armenia 407 1 0.25
Morocco 402 25 6.22
Lithuania 394 7 1.78
Ukraine 356 9 2.53
Hungary 343 11 3.21
Bulgaria 331 7 2.11
Andorra 308 3 0.97
Latvia 305 0 0.00
Costa Rica 295 2 0.68
Slovakia 292 0 0.00
Taiwan* 283 2 0.71
Tunisia 278 8 2.88
Uruguay 274 0 0.00
Bosnia and Herzegovina 258 5 1.94
Jordan 246 1 0.41
North Macedonia 241 4 1.66
Kuwait 235 0 0.00
Moldova 231 2 0.87
Kazakhstan 228 1 0.44
San Marino 224 22 9.82
Burkina Faso 207 11 5.31
Albania 197 10 5.08
Azerbaijan 182 4 2.20
Cyprus 179 5 2.79
Vietnam 174 0 0.00
Oman 152 0 0.00
Malta 149 0 0.00
Ghana 141 5 3.55
Senegal 130 0 0.00
Brunei 120 1 0.83
Cuba 119 3 2.52
Venezuela 119 2 1.68
Sri Lanka 113 1 0.88
Afghanistan 110 4 3.64
Uzbekistan 104 2 1.92
Mauritius 102 2 1.96
Cote d’Ivoire 101 0 0.00

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed Deaths FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 52410 728 1.39 2694.11 37.42 1 in 371
New Jersey 11124 140 1.26 1252.39 15.76 1 in 798
California 5095 110 2.16 128.95 2.78 1 in 7755
Michigan 4650 111 2.39 465.61 11.11 1 in 2148
Massachusetts 4257 44 1.03 612.56 6.33 1 in 1632
Washington 4030 188 4.67 529.23 24.69 1 in 1890
Florida 3763 54 1.44 175.20 2.51 1 in 5708
Illinois 3491 47 1.35 275.49 3.71 1 in 3630
Louisiana 3315 137 4.13 713.09 29.47 1 in 1402
Pennsylvania 2845 34 1.20 222.23 2.66 1 in 4500
Texas 2455 30 1.22 84.67 1.03 1 in 11811
Georgia 2366 69 2.92 222.84 6.50 1 in 4487
Colorado 1740 31 1.78 302.15 5.38 1 in 3310
Connecticut 1524 33 2.17 427.46 9.26 1 in 2339
Tennessee 1511 7 0.46 221.13 1.02 1 in 4522
Ohio 1406 25 1.78 120.28 2.14 1 in 8314
Indiana 1233 31 2.51 183.15 4.60 1 in 5460
Wisconsin 1055 17 1.61 181.20 2.92 1 in 5519
North Carolina 1020 5 0.49 97.25 0.48 1 in 10282
Maryland 995 5 0.50 164.58 0.83 1 in 6076
Missouri 836 10 1.20 136.21 1.63 1 in 7341
Arizona 773 15 1.94 101.51 1.97 1 in 9851
Virginia 740 13 1.76 86.70 1.52 1 in 11534
Alabama 694 4 0.58 141.54 0.82 1 in 7065
Mississippi 663 13 1.96 222.77 4.37 1 in 4489
South Carolina 660 15 2.27 128.19 2.91 1 in 7801
Nevada 626 10 1.60 203.24 3.25 1 in 4920
Utah 602 1 0.17 187.78 0.31 1 in 5326
Oregon 479 13 2.71 113.57 3.08 1 in 8805
Minnesota 441 5 1.13 78.20 0.89 1 in 12788
Arkansas 409 5 1.22 135.53 1.66 1 in 7379
Kentucky 393 9 2.29 87.97 2.01 1 in 11368
Oklahoma 377 15 3.98 95.27 3.79 1 in 10496
District of Columbia 304 4 1.32 430.75 5.67 1 in 2322
Iowa 298 3 1.01 94.45 0.95 1 in 10587
Kansas 266 4 1.50 91.30 1.37 1 in 10952
Rhode Island 239 2 0.84 225.61 1.89 1 in 4432
Idaho 234 4 1.71 130.58 2.23 1 in 7658
Delaware 214 5 2.34 219.77 5.13 1 in 4550
Maine 211 1 0.47 156.97 0.74 1 in 6371
Vermont 211 12 5.69 338.15 19.23 1 in 2957
New Mexico 208 1 0.48 99.20 0.48 1 in 10081
New Hampshire 187 2 1.07 137.53 1.47 1 in 7271
Hawaii 149 0 0.00 105.24 0.00 1 in 9502
Montana 129 1 0.78 120.70 0.94 1 in 8285
Puerto Rico 100 3 3.00 31.31 0.94 1 in 31937
Nebraska 96 2 2.08 49.63 1.03 1 in 20150
West Virginia 96 0 0.00 53.72 0.00 1 in 18616
North Dakota 94 1 1.06 123.35 1.31 1 in 8107
Alaska 85 2 2.35 116.19 2.73 1 in 8606
Wyoming 82 0 0.00 141.68 0.00 1 in 7058
South Dakota 68 1 1.47 76.87 1.13 1 in 13010
Guam 55 1 1.82 331.89 6.03 1 in 3013
Virgin Islands 22 0 0.00 NA NA 1 in NA
American Samoa 0 0 NaN 0.00 0.00 1 in Inf
Northern Mariana Islands 0 0 NaN 0.00 0.00 1 in Inf
Recovered 0 0 NaN NA NA 1 in NA

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region HospitalizedWithSymptoms IntensiveCare HomeIsolation ActiveCases Discharged_Healed Deceased Confirmations Swabs FatalityRate ConfirmationRate
Lombardia 11152 1319 12038 24509 8962 5944 39415 102503 15.08 38.45
Emilia Romagna 3695 316 5953 9964 1075 1344 12383 52991 10.85 23.37
Veneto 1559 344 5010 6913 655 362 7930 89380 4.56 8.87
Piemonte 3094 439 3318 6851 203 617 7671 21511 8.04 35.66
Toscana 1093 277 2141 3511 108 198 3817 25613 5.19 14.90
Marche 987 166 1846 2999 10 364 3373 9884 10.79 34.13
Liguria 1031 167 888 2086 378 358 2822 8177 12.69 34.51
Lazio 985 133 1063 2181 200 124 2505 27179 4.95 9.22
Campania 463 132 812 1407 76 109 1592 10616 6.85 15.00
P.A. Trento 351 72 811 1234 151 120 1505 5561 7.97 27.06
Puglia 563 98 697 1358 29 71 1458 11500 4.87 12.68
Friuli Venezia Giulia 223 59 838 1120 229 87 1436 12723 6.06 11.29
Sicilia 441 71 730 1242 60 57 1359 13096 4.19 10.38
Abruzzo 311 70 646 1027 30 76 1133 7003 6.71 16.18
P.A. Bolzano 225 51 653 929 116 64 1109 9168 5.77 12.10
Umbria 159 44 695 898 43 28 969 7028 2.89 13.79
Sardegna 95 22 452 569 29 26 624 4225 4.17 14.77
Calabria 107 22 394 523 11 21 555 7760 3.78 7.15
Valle d’Aosta 90 26 352 468 2 41 511 1380 8.02 37.03
Basilicata 26 19 133 178 1 3 182 1421 1.65 12.81
Molise 26 9 63 98 16 9 123 807 7.32 15.24

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Quebec 2498 22 0.88
Ontario 1144 18 1.57
British Columbia 884 17 1.92
Alberta 542 2 0.37
Saskatchewan 134 0 0.00
Newfoundland and Labrador 120 0 0.00
Nova Scotia 110 0 0.00
Manitoba 64 1 1.56
New Brunswick 51 0 0.00
Grand Princess 13 0 0.00
Prince Edward Island 11 0 0.00
Yukon 4 0 0.00
Northwest Territories 1 0 0.00
Diamond Princess 0 1 Inf
Recovered 0 0 NaN

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 67801 3177 4.69
Guangdong 1467 8 0.55
Henan 1275 22 1.73
Zhejiang 1251 1 0.08
Hunan 1018 4 0.39
Anhui 990 6 0.61
Jiangxi 936 1 0.11
Shandong 772 7 0.91
Jiangsu 641 0 0.00
Chongqing 578 6 1.04
Beijing 573 8 1.40
Hong Kong 561 4 0.71
Sichuan 548 3 0.55
Shanghai 485 5 1.03
Heilongjiang 484 13 2.69
Fujian 337 1 0.30
Hebei 319 6 1.88
Guangxi 254 2 0.79
Shaanxi 253 3 1.19
Yunnan 180 2 1.11
Hainan 168 6 3.57
Tianjin 161 3 1.86
Guizhou 146 2 1.37
Gansu 136 2 1.47
Shanxi 135 0 0.00
Liaoning 132 2 1.52
Jilin 97 1 1.03
Inner Mongolia 94 1 1.06
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 37 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 371.27 6.19 1 in 2693
Italy 1528.97 165.72 1 in 654
China 59.16 2.38 1 in 16903
Spain 1569.55 128.20 1 in 637
Germany 696.88 5.23 1 in 1435
France 568.82 34.59 1 in 1758
Iran 436.27 31.01 1 in 2292
United Kingdom 260.57 15.37 1 in 3838
Switzerland 1642.47 30.81 1 in 609
Netherlands 571.54 37.25 1 in 1750
Korea, South 184.15 2.80 1 in 5430
Belgium 801.23 30.96 1 in 1248
Austria 937.54 7.71 1 in 1067
Turkey 91.60 1.34 1 in 10917
Canada 148.34 1.62 1 in 6741
Portugal 502.43 9.72 1 in 1990
Norway 747.95 4.28 1 in 1337
Brazil 18.65 0.53 1 in 53612
Australia 147.97 0.57 1 in 6758
Israel 415.40 1.38 1 in 2407

Data Sources: 1. Github Repos: CSSEGISandData and pcm-dpc